Cover Image

Simplified Swarm Learning Framework for Robust and Scalable Diagnostic Services in Cancer Histopathology

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Yanjie, Ji, Yuhao, Lee, Saiho, Akram, Juniad, Braytee, Ali, Anaissi, Ali
Format:	Preprint
Published:	2025
Subjects:	Distributed, Parallel, and Cluster Computing Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DDRM: Distributed Drone Reputation Management for Trust and Reliability in Crowdsourced Drone Services
by: Akram, Junaid, et al.
Published: (2024)

Privacy-First Crowdsourcing: Blockchain and Local Differential Privacy in Crowdsourced Drone Services
by: Akram, Junaid, et al.
Published: (2024)

Flame: Simplifying Topology Extension in Federated Learning
by: Daga, Harshit, et al.
Published: (2023)

Blockchain-based Framework for Scalable and Incentivized Federated Learning
by: Wu, Bijun, et al.
Published: (2025)

Byzantine-Robust and Communication-Efficient Distributed Learning via Compressed Momentum Filtering
by: Liu, Changxin, et al.
Published: (2024)

Private, Augmentation-Robust and Task-Agnostic Data Valuation Approach for Data Marketplace
by: Jahani-Nezhad, Tayyebeh, et al.
Published: (2024)

SwarmRaft: Leveraging Consensus for Robust Drone Swarm Coordination in GNSS-Degraded Environments
by: Dev, Kapel, et al.
Published: (2025)

Federated Learning Framework for Scalable AI in Heterogeneous HPC and Cloud Environments
by: Ghimire, Sangam, et al.
Published: (2025)

Asynchronous Federated Learning with non-convex client objective functions and heterogeneous dataset
by: Forootani, Ali, et al.
Published: (2025)

Towards cost-effective and resource-aware aggregation at Edge for Federated Learning
by: Khan, Ahmad Faraz, et al.
Published: (2022)

SiDA-MoE: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models
by: Du, Zhixu, et al.
Published: (2023)

Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data
by: Chen, Yiyue, et al.
Published: (2025)

Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework
by: Moradi, Parsa, et al.
Published: (2024)

A Robust Federated Learning Framework for Undependable Devices at Scale
by: Wang, Shilong, et al.
Published: (2024)

Spectral Sentinel: Scalable Byzantine-Robust Decentralized Federated Learning via Sketched Random Matrix Theory on Blockchain
by: Mishra, Animesh
Published: (2025)

General Coded Computing in a Probabilistic Straggler Regime
by: Moradi, Parsa, et al.
Published: (2025)

SDFLMQ: A Semi-Decentralized Federated Learning Framework over MQTT
by: Ali-Pour, Amir, et al.
Published: (2025)

Not All Federated Learning Algorithms Are Created Equal: A Performance Evaluation Study
by: Baumgart, Gustav A., et al.
Published: (2024)

Edge-Oriented Orchestration of Energy Services Using Graph-Driven Swarm Intelligence
by: Toderean, Liana, et al.
Published: (2026)

Expert-as-a-Service: Towards Efficient, Scalable, and Robust Large-scale MoE Serving
by: Liu, Ziming, et al.
Published: (2025)

Hierarchical Observe-Orient-Decide-Act Enabled UAV Swarms in Uncertain Environments: Frameworks, Potentials, and Challenges
by: Jia, Ziye, et al.
Published: (2026)

General Coded Computing: Adversarial Settings
by: Moradi, Parsa, et al.
Published: (2025)

Robust Federated Learning in Unreliable Wireless Networks: A Client Selection Approach
by: Wang, Yanmeng, et al.
Published: (2025)

An All-Reduce Compatible Top-K Compressor for Communication-Efficient Distributed Learning
by: Chen, Chuyan, et al.
Published: (2025)

A Scalable Digital Twin Framework for Energy Optimization in Data Centers
by: Gonçalves, Raphael Hendrigo de Souza, et al.
Published: (2026)

A Bayesian Framework for Clustered Federated Learning
by: Wu, Peng, et al.
Published: (2024)

SchEdge: A Dynamic, Multi-agent, and Scalable Scheduling Simulator for IoT Edge
by: Hamedi, Ali, et al.
Published: (2025)

Efficient Parallel Reinforcement Learning Framework using the Reactor Model
by: Kwok, Jacky, et al.
Published: (2023)

A Robust Power Model Training Framework for Cloud Native Runtime Energy Metric Exporter
by: Choochotkaew, Sunyanan, et al.
Published: (2024)

Robust Federated Learning with Global Sensitivity Estimation for Financial Risk Management
by: Zhao, Lei, et al.
Published: (2025)

Robust and Scalable Renaming with Subquadratic Bits
by: Bai, Sirui, et al.
Published: (2025)

BOOST: BOttleneck-Optimized Scalable Training Framework for Low-Rank Large Language Models
by: Wang, Zhengyang, et al.
Published: (2025)

Andes: Defining and Enhancing Quality-of-Experience in LLM-Based Text Streaming Services
by: Liu, Jiachen, et al.
Published: (2024)

Optimizing Federated Learning for Scalable Power-demand Forecasting in Microgrids
by: Banerjee, Roopkatha, et al.
Published: (2025)

A Holistic Framework for Automated Configuration Recommendation for Cloud Service Monitoring
by: Bastos, Anson, et al.
Published: (2026)

EncCluster: Scalable Functional Encryption in Federated Learning through Weight Clustering and Probabilistic Filters
by: Tsouvalas, Vasileios, et al.
Published: (2024)

A Seesaw Model Attack Algorithm for Distributed Learning
by: Yang, Kun, et al.
Published: (2024)

CycleSL: Server-Client Cyclical Update Driven Scalable Split Learning
by: Wang, Mengdi, et al.
Published: (2025)

Preserving Near-Optimal Gradient Sparsification Cost for Scalable Distributed Deep Learning
by: Yoon, Daegun, et al.
Published: (2024)

DORA: A Scalable Asynchronous Reinforcement Learning System for Language Model Training
by: Hu, Tianhao, et al.
Published: (2026)